mzOS

Heuristic based feature annotations/identifications of LC-MS metabolomics dataset.


License
MIT
Install
pip install mzOS==0.1.3

Documentation

mzOS

Build Status Coverage Status Code Issues

Small library for features annotations in LC-MS metabolomics experiments:

  • isotopes detection
  • adducts/fragments annotation using simple heuristics (when conflicts)
  • database search (HMDB, LMSD) from local sqlite file (fast)
  • database assignment scoring based on predicted isotopic distribution and bayesian algorithm.

Some documentation is available here (to be completed).

Dependancies

  • numpy
  • scipy
  • scikit-learn
  • pandas

Roadmap

  • support more databases
  • export results as a graph